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	基于集对分析与NSGA-Ⅱ的生产作业多目标优化; Production job multi-objective scheduling optimization based on set pair analysis and NSGA-Ⅱ
	吴乔 ; 罗键 ; 林金有
	2014-05-15
关键词	生产作业 多目标优化 集对分析 非支配排序遗传算法 Pareto解集 production job multi-objective optimization set pair analysis non-dominated sorting generic algorithm Pareto solutions set
英文摘要	针对生产过程中生产作业的优化调度问题,以生产质量、效率和成本阈值为约束条件,基于集对分析建立了的生产质量—效率—成本控制的生产作业多目标优化模型;利用快速非支配排序遗传算法(nSgA-Ⅱ)求解优化模型,得到相对确定条件下质量—效率—成本控制的PArETO最优解集。决策者依据实际生产过程需要,为各项生产作业从PArETO最优解集中筛选最合理的调度方案。最后,通过算例仿真验证了结合集对分析与nSgA-Ⅱ的方法解决生产作业多目标优化问题的准确性、有效性和实用性。; To find the optimal scheduling for the production job in the production process,using the production quality,efficiency and cost threshold value as constraints,this paper built a multi-objective relative degree of nearness optimization model for quality-efficiency-cost control based on set pair analysis(SPA).It solved the optimization model by using non-dominated sorting generic algorithm(NSGA-Ⅱ) and acquired the Pareto-optimal solutions under the relative certainty conditions.Each job selected reasonable solution according to the optimal alternative.Finally,the experiment verifies the multi-objective optimization problems that illustrates the accuracy,effectiveness and applicability of the proposed method.; 福建省产学合作重大科技资助项目(2011H6027)
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/105798]
专题	航空航天－已发表论文
推荐引用方式 GB/T 7714	吴乔,罗键,林金有. 基于集对分析与NSGA-Ⅱ的生产作业多目标优化, Production job multi-objective scheduling optimization based on set pair analysis and NSGA-Ⅱ[J],2014.
APA	吴乔,罗键,&林金有.(2014).基于集对分析与NSGA-Ⅱ的生产作业多目标优化..
MLA	吴乔,et al."基于集对分析与NSGA-Ⅱ的生产作业多目标优化".(2014).

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